V Bailly
Impact in
- Nephrology top 2%
- Acute Kidney Injury Research
- Chronic Kidney Disease and Diabetes
- Molecular Biology top 10%
- DNA Repair Mechanisms
- DNA and Nucleic Acid Chemistry
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
Papers in
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- DNA Repair Mechanisms 6
- CRISPR and Genetic Engineering 4
- Fungal and yeast genetics research 3
- Cancer therapeutics and mechanisms 3
- DNA and Nucleic Acid Chemistry 2
- Biochemical and Molecular Research 2
- Advanced biosensing and bioanalysis techniques 2
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- HIV/AIDS drug development and treatment 3
- Co-authors
- Walter G. Verly (6 shared papers)Louise Prakash (4 shared papers)Satya Prakash (4 shared papers)Patrick Sung (3 shared papers)Harry van Goor (1 shared paper)Coen A. Stegeman (1 shared paper)SJL Bakker (1 shared paper)John H. Lamb (1 shared paper)
- Journals
- Biochemical Journal (6 papers)Proceedings of the National Academy of Sciences (2 papers)The Journal of Pathology (1 paper)Molecular and Cellular Biology (1 paper)European Journal of Neuroscience (1 paper)
- Partner nations
- BelgiumUnited StatesNetherlands
In The Last Decade
V Bailly
12 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 84
- Nephrology 231
- Molecular Biology 1.0k
- Cancer Research 201
- Genetics 147
- Oncology 126
Countries citing papers authored by V Bailly
This map shows the geographic impact of V Bailly's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by V Bailly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V Bailly more than expected).
Fields of papers citing papers by V Bailly
This network shows the impact of papers produced by V Bailly. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by V Bailly. The network helps show where V Bailly may publish in the future.
Co-authors
The 18 scholars most cited alongside V Bailly, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 404 | |
| 2 | 1994 | 277 | |
| 3 | 1987 | 231 | |
| 4 | 1989 | 140 | |
| 5 | 1997 | 93 | |
| 6 | 1988 | 83 | |
| 7 | 1992 | 72 | |
| 8 | 1991 | 44 | |
| 9 | 1989 | 37 | |
| 10 | 1989 | 36 | |
| 11 | 1989 | 27 | |
| 12 | 2007 | 11 |
About V Bailly
V Bailly is a scholar working on Molecular Biology, Infectious Diseases, Surgery, Nephrology and Cell Biology, having authored 12 papers that have together received 1.5k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (6 papers), CRISPR and Genetic Engineering (4 papers), Fungal and yeast genetics research (3 papers), Cancer therapeutics and mechanisms (3 papers), HIV/AIDS drug development and treatment (3 papers), DNA and Nucleic Acid Chemistry (2 papers), Biochemical and Molecular Research (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Nephrology (231 citations), Molecular Biology (1.0k citations), Cancer Research (201 citations), Genetics (147 citations) and Oncology (126 citations). V Bailly has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Walter G. Verly, Louise Prakash, Satya Prakash, Patrick Sung, Harry van Goor, Coen A. Stegeman, SJL Bakker, John H. Lamb, Timothy O’Connor and Jacques Laval. Their work appears in journals such as Biochemical Journal, Proceedings of the National Academy of Sciences, The Journal of Pathology, Molecular and Cellular Biology and European Journal of Neuroscience.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.